Evidence map›Paper›PMID 41340374›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Scale-Specific Viscoelastic Characterization of Hydrogels: Integrated AFM and Finite Element Modeling.

Nicole Fertala, Klemens Uhlmann, Evgeny Grigoryev, Prannoy Seth, Jens Friedrichs, Julian Thiele, Carsten Werner, Daniel Balzani

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Nicole FertalaLeibniz Institute of Polymer Research Dresden, Division Polymer Biomaterials Science, Max Bergmann Center of Biomaterials, Hohe Straße 6, 01069, Dresden, Germany.ORCID 0009-0008-1353-6425
Klemens UhlmannRuhr University Bochum, Chair of Continuum Mechanics, Universitätsstraße 150, 44801, Bochum, Germany.ORCID 0000-0002-5340-6800
Evgeny GrigoryevLeibniz Institute of Polymer Research Dresden, Institute of Physical Chemistry and Polymer Physics, Hohe Strasse 6, 01069, Dresden, Germany.
Prannoy SethLeibniz Institute of Polymer Research Dresden, Division Polymer Biomaterials Science, Max Bergmann Center of Biomaterials, Hohe Straße 6, 01069, Dresden, Germany.ORCID 0000-0001-6292-2121
Jens FriedrichsLeibniz Institute of Polymer Research Dresden, Division Polymer Biomaterials Science, Max Bergmann Center of Biomaterials, Hohe Straße 6, 01069, Dresden, Germany.ORCID 0000-0002-7166-6120
Julian ThieleLeibniz Institute of Polymer Research Dresden, Institute of Physical Chemistry and Polymer Physics, Hohe Strasse 6, 01069, Dresden, Germany.ORCID 0000-0001-5449-3048
Carsten WernerLeibniz Institute of Polymer Research Dresden, Division Polymer Biomaterials Science, Max Bergmann Center of Biomaterials, Hohe Straße 6, 01069, Dresden, Germany.ORCID 0000-0003-0189-3448
Daniel BalzaniRuhr University Bochum, Chair of Continuum Mechanics, Universitätsstraße 150, 44801, Bochum, Germany.ORCID 0000-0002-1422-4262

Funding

Deutsche Forschungsgemeinschaft BA 2823/19-1
6 · The paper itself

Abstract

Viscoelastic hydrogels mimic the dynamic mechanical properties of native extracellular matrices, making them essential for biomedical applications. However, characterizing their scale-dependent mechanical properties remains challenging, despite their critical influence on cell-material interactions and biomaterial performance. Here, an integrated experimental-computational approach is presented to quantify and model the viscoelastic behavior of interpenetrating polymer network hydrogels across micro- and macro-scales. Atomic force microscopy-based stress relaxation tests revealed that microgels exhibit rapid, localized relaxation, while macroscopic bulk gels displayed prolonged relaxation dominated by poroelastic effects. Finite element simulations accurately replicated experimental conditions, enabling the extraction of key parameters: fully relaxed elastic modulus, relaxation modulus, and relaxation time constant. A novel analytical model is further developed to predict viscoelastic parameters from experimental data with minimal error (<6%), significantly streamlining characterization. The findings highlight the necessity of scale-specific mechanical analysis and provide a robust platform for designing biomaterials with tailored viscoelasticity for tissue engineering and regenerative medicine.

Indexed as

ElasticityFinite Element AnalysisHydrogelsMicroscopy, Atomic ForceBiocompatible MaterialsElastic ModulusViscosityBiocompatible MaterialsHydrogelsatomic force microscopyfinite element modelinginterpenetrating polymer networksscale‐dependent mechanicsviscoelastic hydrogels

Identifiers

PMID41340374
PMCPMC12980481

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.